Intelligent Face and Person Classification Using Deep Learning Approach for Surveillance

Rajasekaran Thangaraj, P. Jaisankar, Siva Prasath P., Suresh A., Surya Prakash V.

2025

Abstract

Person and face classification play a crucial role in various applications, including security surveillance, demographic analysis, and personalized services. This study proposes a real-time analysis and classification system using YOLOv11 and deep learning techniques. The model utilizes advanced object detection capabilities to efficiently detect human faces in video streams, followed by a Convolutional Neural Network (CNN)-based classifier for precise age and gender prediction. The system is designed to process live video feeds with high accuracy and minimal latency, ensuring reliable classification in dynamic environments. The integration of deep learning allows for feature extraction, improving classification performance across diverse detection among face and person. The proposed approach is evaluated on benchmark datasets to assess its effectiveness in real-world scenarios.

Paper Citation

in Harvard Style

Thangaraj R., Jaisankar P., P. S., A. S. and V. S. (2025). Intelligent Face and Person Classification Using Deep Learning Approach for Surveillance. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 684-690. DOI: 10.5220/0013942000004919

in Bibtex Style

@conference{icrdicct`2525,
author={Rajasekaran Thangaraj and P. Jaisankar and Siva P. and Suresh A. and Surya V.},
title={Intelligent Face and Person Classification Using Deep Learning Approach for Surveillance},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={684-690},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013942000004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Intelligent Face and Person Classification Using Deep Learning Approach for Surveillance
SN - 978-989-758-777-1
AU - Thangaraj R.
AU - Jaisankar P.
AU - P. S.
AU - A. S.
AU - V. S.
PY - 2025
SP - 684
EP - 690
DO - 10.5220/0013942000004919
PB - SciTePress